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A curated reference of open-source text-to-speech models organized by license type, highlighting which models can be used commercially.
This paper audits license provenance of over twenty African NLP corpus families, identifies compatibility failures like the JW300 violation and hidden NoDerivs clauses, and provides a due diligence checklist for legally clean dataset creation.